EJERCICIO 1¶

In [ ]:
#!pip install geopandas
In [ ]:
#!pip install fiona

Lectura de datos y proyecciones

In [ ]:
import geopandas as gpd
from  fiona import listlayers

countries=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/maps/World_Countries/World_Countries.shp')
public_hospitals=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/Public_hospitals/Public_Hospitals.shp')
eletricity_lines=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/Electricity_Transmission_lines/Electricity_Transmission_Lines.shp')
australia_states=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/states%20and%20territories%20aus/STE_2021_AUST_GDA2020.shp')
WorldMap="https://github.com/CienciaDeDatosEspacial/intro_geodataframe/raw/main/maps/worldMaps.gpkg"
indicators=gpd.read_file(WorldMap,layer='indicators')
In [ ]:
australia=countries[countries.COUNTRY=='Australia']
australia_3112=australia.to_crs(3112)

Primero se le asigna un crs conocido y luego se proyecta las variables

In [ ]:
public_hospitals = public_hospitals.set_crs(epsg=4326, allow_override=True)
public_hospitals_clipped=gpd.clip(public_hospitals,australia)
public_hospitals_3112=public_hospitals_clipped.to_crs(3112)
In [ ]:
eletricity_lines = eletricity_lines.set_crs(epsg=4326, allow_override=True)
eletricity_lines_clipped=gpd.clip(eletricity_lines,australia)
eletricity_lines_3112=eletricity_lines_clipped.to_crs(3112)
In [ ]:
australia_states = australia_states.set_crs(epsg=4326, allow_override=True)
australia_states_clipped=gpd.clip(australia_states,australia)
australia_states_3112=australia_states_clipped.to_crs(3112)
In [ ]:
#Centroide
australia_centroid=australia.to_crs(3112).centroid
centroidX,centroidY=australia_3112.centroid.x.values[0],australia_3112.centroid.y.values[0]
# the arriba
australia_states_A=australia_states_3112.cx[:,centroidY:]
# the abajo
Public_hospitals_B=public_hospitals_3112.cx[:,:centroidY]
  1. Se muestran los puntos por debajo del centroide
In [ ]:
base = australia_3112.plot(facecolor="lightblue", edgecolor='black', linewidth=0.4,figsize=(5,5))
Public_hospitals_B.plot(marker='.', color='blue', markersize=13,
                    ax=base)
Out[ ]:
<Axes: >
No description has been provided for this image
  1. Se muestran las lineas que cruzan los estados por encima del centroide
In [ ]:
australia_states_A.plot(facecolor="lightblue", edgecolor='black', linewidth=0.4,figsize=(5,5))
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
base = australia_3112.plot(facecolor="lightblue", edgecolor='black', linewidth=0.4,figsize=(5,5))
australia_states_A.plot(facecolor="lightblue", edgecolor='black', linewidth=1,
                    ax=base)
eletricity_lines_3112.plot(edgecolor='purple', linewidth=0.5,
                    ax=base)
Out[ ]:
<Axes: >
No description has been provided for this image

EJERCICIO 2¶

In [ ]:
import geopandas as gpd

local_gov=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/local_goverment%20areas/SA4_2021_AUST_GDA94.shp')
local_gov.head()
Out[ ]:
SA4_CODE21 SA4_NAME21 CHG_FLAG21 CHG_LBL21 GCC_CODE21 GCC_NAME21 STE_CODE21 STE_NAME21 AUS_CODE21 AUS_NAME21 AREASQKM21 LOCI_URI21 geometry
0 101 Capital Region 0 No change 1RNSW Rest of NSW 1 New South Wales AUS Australia 51896.2444 http://linked.data.gov.au/dataset/asgsed3/SA4/101 MULTIPOLYGON (((150.0526 -37.26254, 150.05251 ...
1 102 Central Coast 0 No change 1GSYD Greater Sydney 1 New South Wales AUS Australia 1681.0088 http://linked.data.gov.au/dataset/asgsed3/SA4/102 MULTIPOLYGON (((151.31496 -33.55579, 151.31496...
2 103 Central West 0 No change 1RNSW Rest of NSW 1 New South Wales AUS Australia 70297.0600 http://linked.data.gov.au/dataset/asgsed3/SA4/103 POLYGON ((150.14235 -32.34155, 150.14254 -32.3...
3 104 Coffs Harbour - Grafton 0 No change 1RNSW Rest of NSW 1 New South Wales AUS Australia 13229.7577 http://linked.data.gov.au/dataset/asgsed3/SA4/104 MULTIPOLYGON (((153.07639 -30.42984, 153.07644...
4 105 Far West and Orana 0 No change 1RNSW Rest of NSW 1 New South Wales AUS Australia 339355.6461 http://linked.data.gov.au/dataset/asgsed3/SA4/105 POLYGON ((148.67618 -29.50977, 148.67661 -29.5...
In [ ]:
#se proyecta la variable de local goverment areas
local_gov=local_gov.set_crs(epsg=4326, allow_override=True)
local_gov_clipped=gpd.clip(local_gov,australia)
local_gov_3112=local_gov_clipped.to_crs(3112)
In [ ]:
local_gov_3112.plot()
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
#numero de municipios
len(local_gov_3112.SA4_NAME21)
Out[ ]:
89
In [ ]:
#numero de estados
len(set(local_gov_3112.STE_NAME21))
Out[ ]:
9
In [ ]:
! pip show shapely

Name: shapely
Version: 2.1.1
Summary: Manipulation and analysis of geometric objects
Home-page: 
Author: Sean Gillies
Author-email: 
License: BSD 3-Clause
Location: /usr/local/lib/python3.11/dist-packages
Requires: numpy
Required-by: bigframes, geopandas, google-cloud-aiplatform, libpysal
  1. Se crea un subconjunto de poligonos del estado de New South Wales, con la funcion union
In [ ]:
local_gov_3112[local_gov_3112.STE_NAME21=='New South Wales'].plot()
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
local_gov_3112[local_gov_3112.STE_NAME21=='New South Wales'].union_all()
Out[ ]:
No description has been provided for this image
In [ ]:
#Conversion de geoDf
new_south_wales=local_gov_3112[local_gov_3112.STE_NAME21=='New South Wales'].union_all()
new_south_wales_gdf=gpd.GeoDataFrame(index=[0],data={'ADM':'New South Wales'},
                 crs=local_gov_3112.crs,
                 geometry=[new_south_wales])
In [ ]:
new_south_wales_gdf.plot()
Out[ ]:
<Axes: >
No description has been provided for this image
  1. Se muestran la union de las municipalidades en estados con la funcion dissolve
In [ ]:
local_gov_3112.plot(facecolor='lightgrey', edgecolor='black',linewidth=0.2)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
local_gov_3112.dissolve(by='STE_NAME21').plot(facecolor='yellow', edgecolor='black',linewidth=0.2)
Out[ ]:
<Axes: >
No description has been provided for this image
  1. Se muestra el mapa donde se aplica la funcion dissolve y aggregating de la mediana de los valores para el mapa del mundo
In [ ]:
indicators.dissolve(
     by="region",
     aggfunc={
         "COUNTRY": "count",
         "fragility": ["median"],
         "co2": ["median"],
         "ForestRev_gdp": ["median"]
     },as_index=False,
 )
Out[ ]:
region geometry (COUNTRY, count) (fragility, median) (co2, median) (ForestRev_gdp, median)
0 AFRICA MULTIPOLYGON (((-2.92813 5.10022, -2.93222 5.1... 51 87.40 4444000.0 2.470
1 AUSTRALIA AND OCEANIA MULTIPOLYGON (((-176.51779 -43.90778, -176.532... 6 67.95 1023000.0 0.385
2 CENTRAL AMERICA AND THE CARIBBEAN MULTIPOLYGON (((-81.71556 7.44681, -81.71362 7... 16 61.00 7873500.0 0.115
3 CENTRAL ASIA MULTIPOLYGON (((50.03472 45.04833, 50.0425 45.... 6 75.20 106001000.0 0.005
4 EAST AND SOUTHEAST ASIA MULTIPOLYGON (((105.26361 -6.54472, 105.26138 ... 15 70.40 238983000.0 0.180
5 EUROPE MULTIPOLYGON (((-18.13223 27.77264, -18.1132 2... 39 40.50 38739000.0 0.150
6 MIDDLE EAST MULTIPOLYGON (((42.76819 14.06653, 42.7868 14.... 16 72.60 68706500.0 0.000
7 NORTH AMERICA MULTIPOLYGON (((-155.211 20.00166, -155.18335 ... 3 38.00 612084000.0 0.080
8 SOUTH AMERICA MULTIPOLYGON (((-74.93431 -51.85501, -74.93251... 11 68.20 36051000.0 0.490
9 SOUTH ASIA MULTIPOLYGON (((73.10193 -0.58431, 73.09915 -0... 8 84.35 15916000.0 0.120
In [ ]:
#!pip install mapclassify
In [ ]:
indicatorsByRegion=indicators.dissolve(
     by="region",
     aggfunc={
         "COUNTRY": "count",
         "fragility": ["median"],
         "co2": ["median"],
         "ForestRev_gdp": ["median"]
     },as_index=False,
 )
indicatorsByRegion.plot(column =('co2', 'median'),scheme='quantiles', cmap='viridis',
                        legend=True,
                        legend_kwds={"title": "co2",'loc': 'lower left'},
                        edgecolor='black',linewidth=0.2,
                        figsize=(15, 10))
Out[ ]:
<Axes: >
No description has been provided for this image

EJERCICIO 3¶

In [ ]:
liquid_fluel_terminals=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/Liquid_fuel_terminals/Liquid_Fuel_Terminals.shp')
liquid_fluel_terminals=liquid_fluel_terminals.set_crs(epsg=4326, allow_override=True)
liquid_fluel_terminals_clipped=gpd.clip(liquid_fluel_terminals,australia)
liquid_fluel_terminals_3112=liquid_fluel_terminals_clipped.to_crs(3112)
In [ ]:
liquid_fluel_terminals_3112.head()
Out[ ]:
objectid featuretyp descriptio class name operationa operator owner address suburb state spatialcon revised sdedistsbu geometry
34 35 Fuel Terminal A facility used for the storage of petroleum p... Fuel Terminal Devonport Operational Shell Shell 9 Devonport Road Devonport Tasmania 5 2012-06-11 37 POINT (1055890.678 -4684269.291)
33 34 Fuel Terminal A facility used for the storage of petroleum p... Fuel Terminal Burnie Operational BP BP 4 River Road Wivenhoe Tasmania 5 2012-06-11 36 POINT (1019707.651 -4666647.377)
77 78 Fuel Terminal A facility used for the storage of petroleum p... Fuel Terminal Burnie Operational BP BP 1 River Road Wivenhoe Tasmania 5 2012-06-11 36 POINT (1019986.85 -4666424.01)
61 62 Fuel Terminal A facility used for the storage of petroleum p... Fuel Terminal Hastings Operational United United Barclay Crescent Hastings Victoria 5 2020-08-21 65 POINT (985479.99 -4349577.794)
71 72 Fuel Terminal A facility used for the storage of petroleum p... Fuel Terminal Geelong Operational Terminals Pty Ltd Terminals Pty Ltd 40 Wharf Road Corio Victoria 5 2020-08-21 75 POINT (915811.43 -4320373.386)
In [ ]:
base = australia_3112.plot(facecolor="lightblue", edgecolor='black', linewidth=0.4,figsize=(5,5))
liquid_fluel_terminals_3112.plot(ax=base)
Out[ ]:
<Axes: >
No description has been provided for this image
  1. Se selecciona ciertos puntos de la data
In [ ]:
decommissioned_terminals=liquid_fluel_terminals_3112[liquid_fluel_terminals_3112.operationa=='Decommissioned']
decommissioned_terminals.union_all()
Out[ ]:
No description has been provided for this image
  1. Figura convexa de los puntos
In [ ]:
decommissioned_terminals=liquid_fluel_terminals_3112[liquid_fluel_terminals_3112.operationa=='Decommissioned']
decommissioned_terminals.union_all().convex_hull
Out[ ]:
No description has been provided for this image
  1. Conversion a geoDF
In [ ]:
decommissioned_terminals_hull= gpd.GeoDataFrame(index=[0],
                                    crs=decommissioned_terminals.crs,
                                    geometry=[decommissioned_terminals.union_all().convex_hull])
decommissioned_terminals_hull['name']='seaplan  base hull' # optional
decommissioned_terminals_hull
Out[ ]:
geometry name
0 POLYGON ((962949.727 -4296539.153, -1703224.23... seaplan base hull
  1. Mapa con los puntos y la figura
In [ ]:
base=australia_3112.plot(facecolor='lightgreen')
decommissioned_terminals.plot(ax=base)
decommissioned_terminals_hull.plot(ax=base,facecolor='green',
                       edgecolor='white',alpha=0.4,
                       hatch='X')
Out[ ]:
<Axes: >
No description has been provided for this image

EJERCICIO 4¶

In [ ]:
statistical_areas=gpd.read_file('https://github.com/Tracy-12/TAREA_GRUPAL_2/raw/refs/heads/main/Statistical_areas_N2/SA2_2021_AUST_GDA94.shp')
statistical_areas=statistical_areas.set_crs(epsg=4326, allow_override=True)
statistical_areas_clipped=gpd.clip(statistical_areas,australia)
statistical_areas_3112=statistical_areas_clipped.to_crs(3112)
In [ ]:
#Centroide y coordenadas
centroidX,centroidY=australia_3112.centroid.x.values[0],australia_3112.centroid.y.values[0]
statistical_areas_3112_N=statistical_areas_3112.cx[:,centroidY:] # the north
statistical_areas_3112_S=statistical_areas_3112.cx[:,:centroidY] # the south
statistical_areas_3112__W=statistical_areas_3112.cx[:centroidX,:] # the west
statistical_areas_3112_E=statistical_areas_3112.cx[centroidX:,:] # the east

INTERSECCION

In [ ]:
base=statistical_areas_3112_N.plot(facecolor='lavender', edgecolor='black',linewidth=0.2, alpha=0.6)
statistical_areas_3112_S.plot(facecolor='grey', edgecolor='black',linewidth=0.2,ax=base, alpha=0.4)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
base=statistical_areas_3112_E.plot(facecolor='lavender', edgecolor='black',linewidth=0.2, alpha=0.6)
statistical_areas_3112__W.plot(facecolor='grey', edgecolor='black',linewidth=0.2,ax=base, alpha=0.4)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
#interseccion N & S
statistical_areas_3112_NS=statistical_areas_3112_N.overlay(statistical_areas_3112_S, how="intersection",keep_geom_type=True)
statistical_areas_3112_NS.plot(facecolor='lavender', edgecolor='black',linewidth=0.7, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
#interseccion W & E
statistical_areas_3112_WE=statistical_areas_3112__W.overlay(statistical_areas_3112_E, how="intersection",keep_geom_type=True)
statistical_areas_3112_WE.plot(facecolor='lavender', edgecolor='black',linewidth=0.7, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image

UNION DE LA INTERSECCION

In [ ]:
statistical_areas_3112_NS.info()

<class 'geopandas.geodataframe.GeoDataFrame'>
RangeIndex: 17 entries, 0 to 16
Data columns (total 33 columns):
 #   Column        Non-Null Count  Dtype   
---  ------        --------------  -----   
 0   SA2_CODE21_1  17 non-null     object  
 1   SA2_NAME21_1  17 non-null     object  
 2   CHG_FLAG21_1  17 non-null     object  
 3   CHG_LBL21_1   17 non-null     object  
 4   SA3_CODE21_1  17 non-null     object  
 5   SA3_NAME21_1  17 non-null     object  
 6   SA4_CODE21_1  17 non-null     object  
 7   SA4_NAME21_1  17 non-null     object  
 8   GCC_CODE21_1  17 non-null     object  
 9   GCC_NAME21_1  17 non-null     object  
 10  STE_CODE21_1  17 non-null     object  
 11  STE_NAME21_1  17 non-null     object  
 12  AUS_CODE21_1  17 non-null     object  
 13  AUS_NAME21_1  17 non-null     object  
 14  AREASQKM21_1  17 non-null     float64 
 15  LOCI_URI21_1  17 non-null     object  
 16  SA2_CODE21_2  17 non-null     object  
 17  SA2_NAME21_2  17 non-null     object  
 18  CHG_FLAG21_2  17 non-null     object  
 19  CHG_LBL21_2   17 non-null     object  
 20  SA3_CODE21_2  17 non-null     object  
 21  SA3_NAME21_2  17 non-null     object  
 22  SA4_CODE21_2  17 non-null     object  
 23  SA4_NAME21_2  17 non-null     object  
 24  GCC_CODE21_2  17 non-null     object  
 25  GCC_NAME21_2  17 non-null     object  
 26  STE_CODE21_2  17 non-null     object  
 27  STE_NAME21_2  17 non-null     object  
 28  AUS_CODE21_2  17 non-null     object  
 29  AUS_NAME21_2  17 non-null     object  
 30  AREASQKM21_2  17 non-null     float64 
 31  LOCI_URI21_2  17 non-null     object  
 32  geometry      17 non-null     geometry
dtypes: float64(2), geometry(1), object(30)
memory usage: 4.5+ KB
In [ ]:
statistical_areas_3112_WE.info()

<class 'geopandas.geodataframe.GeoDataFrame'>
RangeIndex: 9 entries, 0 to 8
Data columns (total 33 columns):
 #   Column        Non-Null Count  Dtype   
---  ------        --------------  -----   
 0   SA2_CODE21_1  9 non-null      object  
 1   SA2_NAME21_1  9 non-null      object  
 2   CHG_FLAG21_1  9 non-null      object  
 3   CHG_LBL21_1   9 non-null      object  
 4   SA3_CODE21_1  9 non-null      object  
 5   SA3_NAME21_1  9 non-null      object  
 6   SA4_CODE21_1  9 non-null      object  
 7   SA4_NAME21_1  9 non-null      object  
 8   GCC_CODE21_1  9 non-null      object  
 9   GCC_NAME21_1  9 non-null      object  
 10  STE_CODE21_1  9 non-null      object  
 11  STE_NAME21_1  9 non-null      object  
 12  AUS_CODE21_1  9 non-null      object  
 13  AUS_NAME21_1  9 non-null      object  
 14  AREASQKM21_1  9 non-null      float64 
 15  LOCI_URI21_1  9 non-null      object  
 16  SA2_CODE21_2  9 non-null      object  
 17  SA2_NAME21_2  9 non-null      object  
 18  CHG_FLAG21_2  9 non-null      object  
 19  CHG_LBL21_2   9 non-null      object  
 20  SA3_CODE21_2  9 non-null      object  
 21  SA3_NAME21_2  9 non-null      object  
 22  SA4_CODE21_2  9 non-null      object  
 23  SA4_NAME21_2  9 non-null      object  
 24  GCC_CODE21_2  9 non-null      object  
 25  GCC_NAME21_2  9 non-null      object  
 26  STE_CODE21_2  9 non-null      object  
 27  STE_NAME21_2  9 non-null      object  
 28  AUS_CODE21_2  9 non-null      object  
 29  AUS_NAME21_2  9 non-null      object  
 30  AREASQKM21_2  9 non-null      float64 
 31  LOCI_URI21_2  9 non-null      object  
 32  geometry      9 non-null      geometry
dtypes: float64(2), geometry(1), object(30)
memory usage: 2.4+ KB
In [ ]:
#Solo columnas necesarias
keep=['AUS_NAME21_1','STE_NAME21_1','SA2_NAME21_1','geometry']

statistical_areas_3112_NS=statistical_areas_3112_NS[keep]
statistical_areas_3112_WE=statistical_areas_3112_WE[keep]
In [ ]:
statistical_areas_3112_NS.overlay(statistical_areas_3112_WE,how="union",keep_geom_type=True)
Out[ ]:
AUS_NAME21_1_1 STE_NAME21_1_1 SA2_NAME21_1_1 AUS_NAME21_1_2 STE_NAME21_1_2 SA2_NAME21_1_2 geometry
0 Australia Northern Territory Petermann - Simpson Australia Northern Territory Petermann - Simpson POLYGON ((-477285.351 -2756338.486, -452170.83...
1 Australia Queensland Monto - Eidsvold NaN NaN NaN POLYGON ((1654760.369 -2929551.247, 1654942.02...
2 Australia Queensland Banana NaN NaN NaN POLYGON ((1612730.296 -2824472.013, 1612676.24...
3 Australia Queensland Central Highlands - East NaN NaN NaN POLYGON ((1476164.972 -2774600.903, 1476187.61...
4 Australia Queensland Roma Surrounds NaN NaN NaN POLYGON ((1326712.126 -3031014.868, 1326422.44...
5 Australia Queensland Central Highlands - West NaN NaN NaN POLYGON ((1388562.497 -2689043.474, 1388562.58...
6 Australia Queensland North Burnett NaN NaN NaN POLYGON ((1742859.965 -2915937.679, 1743001.19...
7 Australia Queensland Gladstone Hinterland NaN NaN NaN MULTIPOLYGON (((1748340.152 -2859473.167, 1748...
8 Australia Queensland Bundaberg Surrounds - North NaN NaN NaN POLYGON ((1793951.7 -2932731.469, 1794174.839 ...
9 Australia Queensland Agnes Water - Miriam Vale NaN NaN NaN MULTIPOLYGON (((1758080.46 -2864038.085, 17581...
10 Australia Queensland Barcaldine - Blackall NaN NaN NaN POLYGON ((1096587.266 -2670194.199, 1095394.73...
11 Australia Queensland Charleville NaN NaN NaN POLYGON ((1113729.37 -3023002.728, 1114630.933...
12 Australia Western Australia Leinster - Leonora NaN NaN NaN POLYGON ((-1349660.162 -3277115.747, -1335095....
13 Australia Western Australia Meekatharra NaN NaN NaN POLYGON ((-1656439.982 -3018831.599, -1655508....
14 Australia Western Australia Exmouth NaN NaN NaN MULTIPOLYGON (((-1994920.363 -2722696.968, -19...
15 Australia Queensland Far South West NaN NaN NaN POLYGON ((768493.755 -3056934.964, 768358.841 ...
16 Australia Queensland Far Central West NaN NaN NaN POLYGON ((407925.062 -2562758.662, 407974.759 ...
17 NaN NaN NaN Australia South Australia West Coast (SA) MULTIPOLYGON (((33724.72 -3739575.673, 33725.8...
18 NaN NaN NaN Australia South Australia Outback POLYGON ((-31595.015 -3152935.555, -31628.162 ...
19 NaN NaN NaN Australia Northern Territory Sandover - Plenty POLYGON ((12418.15 -2618383.023, 12450.002 -25...
20 NaN NaN NaN Australia Northern Territory Yuendumu - Anmatjere POLYGON ((12450.002 -2593731.501, 12418.15 -26...
21 NaN NaN NaN Australia Northern Territory Barkly POLYGON ((-171001.183 -1933732.333, -171226.78...
22 NaN NaN NaN Australia Northern Territory Gulf MULTIPOLYGON (((189415.129 -1660575.267, 18941...
23 NaN NaN NaN Australia Northern Territory Elsey POLYGON ((-166502.371 -1606380.485, -166867.25...
24 NaN NaN NaN Australia Northern Territory West Arnhem MULTIPOLYGON (((18591.453 -1414020.397, 18347....
In [ ]:
import pandas as pd
pd.concat([statistical_areas_3112_NS,statistical_areas_3112_WE],ignore_index=True)
Out[ ]:
AUS_NAME21_1 STE_NAME21_1 SA2_NAME21_1 geometry
0 Australia Queensland Monto - Eidsvold POLYGON ((1654760.369 -2929551.247, 1654942.02...
1 Australia Queensland Banana POLYGON ((1612730.296 -2824472.013, 1612676.24...
2 Australia Queensland Central Highlands - East POLYGON ((1476164.972 -2774600.903, 1476187.61...
3 Australia Queensland Roma Surrounds POLYGON ((1326712.126 -3031014.868, 1326422.44...
4 Australia Queensland Central Highlands - West POLYGON ((1388562.497 -2689043.474, 1388562.58...
5 Australia Queensland North Burnett POLYGON ((1742859.965 -2915937.679, 1743001.19...
6 Australia Queensland Gladstone Hinterland MULTIPOLYGON (((1748340.152 -2859473.167, 1748...
7 Australia Queensland Bundaberg Surrounds - North POLYGON ((1793951.7 -2932731.469, 1794174.839 ...
8 Australia Queensland Agnes Water - Miriam Vale MULTIPOLYGON (((1758080.46 -2864038.085, 17581...
9 Australia Queensland Barcaldine - Blackall POLYGON ((1096587.266 -2670194.199, 1095394.73...
10 Australia Queensland Charleville POLYGON ((1113729.37 -3023002.728, 1114630.933...
11 Australia Northern Territory Petermann - Simpson POLYGON ((-502450.941 -2757387.951, -477285.35...
12 Australia Western Australia Leinster - Leonora POLYGON ((-1348890.781 -3283947.682, -1349660....
13 Australia Western Australia Meekatharra POLYGON ((-1656439.982 -3018831.599, -1655508....
14 Australia Western Australia Exmouth MULTIPOLYGON (((-1994920.363 -2722696.968, -19...
15 Australia Queensland Far South West POLYGON ((768534.659 -3056986.312, 768493.755 ...
16 Australia Queensland Far Central West POLYGON ((406725.221 -2600975.956, 407179.566 ...
17 Australia South Australia West Coast (SA) MULTIPOLYGON (((33724.72 -3739575.673, 33725.8...
18 Australia South Australia Outback POLYGON ((-62268.58 -3177945.307, -62286.695 -...
19 Australia Northern Territory Petermann - Simpson POLYGON ((-502450.941 -2757387.951, -477285.35...
20 Australia Northern Territory Sandover - Plenty POLYGON ((12741.872 -2626136.313, 12430.669 -2...
21 Australia Northern Territory Yuendumu - Anmatjere POLYGON ((12450.002 -2593731.501, 12418.15 -26...
22 Australia Northern Territory Barkly POLYGON ((-170978.739 -1935463.576, -171001.18...
23 Australia Northern Territory Gulf MULTIPOLYGON (((189415.129 -1660575.267, 18941...
24 Australia Northern Territory Elsey POLYGON ((-166502.371 -1606380.485, -166867.25...
25 Australia Northern Territory West Arnhem MULTIPOLYGON (((18591.453 -1414020.397, 18347....
  1. Mapa de la interseccion
In [ ]:
statistical_areas_3112_NS.overlay(statistical_areas_3112_WE, how="union",keep_geom_type=True).dissolve().plot(facecolor='lavender', edgecolor='black',linewidth=0.7, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
statistical_areas_MID=statistical_areas_3112_NS.overlay(statistical_areas_3112_WE, how="union",keep_geom_type=True).dissolve()
statistical_areas_MID
Out[ ]:
geometry SA2_CODE21_1_1 SA2_NAME21_1_1 CHG_FLAG21_1_1 CHG_LBL21_1_1 SA3_CODE21_1_1 SA3_NAME21_1_1 SA4_CODE21_1_1 SA4_NAME21_1_1 GCC_CODE21_1_1 ... SA4_CODE21_2_2 SA4_NAME21_2_2 GCC_CODE21_2_2 GCC_NAME21_2_2 STE_CODE21_2_2 STE_NAME21_2_2 AUS_CODE21_2_2 AUS_NAME21_2_2 AREASQKM21_2_2 LOCI_URI21_2_2
0 MULTIPOLYGON (((-2010696.148 -3160884.243, -20... 702011050 Petermann - Simpson 0 No change 70201 Alice Springs 702 Northern Territory - Outback 7RNTE ... 702 Northern Territory - Outback 7RNTE Rest of NT 7 Northern Territory AUS Australia 175248.1135 http://linked.data.gov.au/dataset/asgsed3/SA2/...

1 rows × 65 columns

In [ ]:
statistical_areas_MID['zone']='middles'
statistical_areas_MID=statistical_areas_MID.loc[:,['AUS_NAME21_1_1','zone','geometry']]
statistical_areas_MID
Out[ ]:
AUS_NAME21_1_1 zone geometry
0 Australia middles MULTIPOLYGON (((-2010696.148 -3160884.243, -20...
  1. Mapa de la diferencia
In [ ]:
statistical_areas_3112.overlay(statistical_areas_MID, how='difference').plot(facecolor='lavender', edgecolor='black',linewidth=0.3, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image
  1. Mapas de la diferencia simetrica
In [ ]:
statistical_areas_3112_N.overlay(statistical_areas_3112_S, how="symmetric_difference",keep_geom_type=True).plot(facecolor='lavender', edgecolor='black',linewidth=0.3, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
statistical_areas_3112_E.overlay(statistical_areas_3112__W, how="symmetric_difference", keep_geom_type=True).plot(facecolor='lavender', edgecolor='black',linewidth=0.3, alpha=0.6)
Out[ ]:
<Axes: >
No description has been provided for this image